Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive Knowledge-Reference-Cited by-同舟云学术

Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive Knowledge

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Le Huy Dinh-Anh¹,Nguyen Quang Qui-Vinh¹,Nguyen Vuong Ai¹,Nguyen Thong Duy-Minh¹,Chung Nhat Minh¹,Thai Tin-Trung¹,Ha Synh Viet-Uyen¹

Affiliation:

1. International University,School of Computer Science and Engineering,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

Reference25 articles.

1. Large-scale vehicle re-identification in urban surveillance videos;liu;2016 IEEE International Conference on Multimedia and Expo (ICME),2016

2. Decoupled weight decay regularization;loshchilov,2017

3. Clip4clip: An empirical study of clip for end to end video clip retrieval;luo,2021

4. Efficient estimation of word representations in vector space;mikolov,2013

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